Treat your patients better with Alan

Mobilize your medical workforce with the Alan Voice Assistant.

61.5
% of patients had at least one medication error within four months in a major hospital in Melbourne.
262
Misdiagnosis and surgical complications cost NSW public hospitals more than $262 million in the last six years.
440,000
440,000 people die every year from hospital errors, injuries, accidents, and infections
1/25
Every year, 1 out of every 25 patients develops an infection while in the hospital — an infection that didn't have to happen.

Use Cases of Voice in Healthcare

Overcome industry challenges with Alan

Overworked Staff

Cognitive Overflow / Burden of preventable medical errors
creating a “flow-down effect” in which over-qualified staff members are performing duties assigned to other people

Digital support

Increase staff productivity and effectiveness

Low Customer Adoption

Cognitive Overflow / Burden of preventable medical errors
creating a “flow-down effect” in which over-qualified staff members are performing duties assigned to other people

Digital support

Increase staff productivity and effectiveness

Underutilized Supplies & Devices

Digital support

Increase staff productivity and effectiveness

Build and deploy in placeholder

Draggable Alan button
Works in your existing App
Provides information from the all necessary system, not just one screen

Hand-free patient experience

Probability model: Learns your industry language / abbreviations

Quick voice to text input by staff (don’t need assistance)

Wake word

Eradicates the need for prior application knowledge.

Multi-step workflow

Point-Of-Care integration

Build and deploy quickly

Eradicates the need for prior application knowledge.

See Alan in action

Treat your patients better with Alan. Mobilize your medical workforce with the Alan Voice Assistant.

Hands-free user experience for your existing application

Get Started With Alan Studio

"The platform let us integrate voice directly into the app’s UI workflows and handles industry domain language accurately." — Ritesh Menon, Incture Technologies

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